GPS-MBA statistics

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GPS-MBA specifications

Information


Unique identifier OMICS_07000
Name GPS-MBA
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data A primary sequence or multiple proteins sequences.
Input format FASTA
Output data A table of experimentally identified and predicted epitopes.
Computer skills Basic
Version 1.0
Stability Stable
Requirements
JRE
Maintained Yes

Documentation


Maintainers


  • person_outline Yu Xue
  • person_outline Jian Ren
  • person_outline Dr. Zexian Liu
  • person_outline Qing Yang

Additional information


http://mba.biocuckoo.org/faq.php

Information


Unique identifier OMICS_07000
Name GPS-MBA
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Input data A primary sequence or multiple proteins sequences.
Input format FASTA
Output data A table of experimentally identified and predicted epitopes.
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
Computer skills Medium
Version 1.0
Stability Stable
Maintained Yes

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Versioning


No version available

Documentation


Maintainers


  • person_outline Yu Xue
  • person_outline Jian Ren
  • person_outline Dr. Zexian Liu
  • person_outline Qing Yang

Additional information


http://mba.biocuckoo.org/faq.php

Publication for GPS-MBA

GPS-MBA citation

library_books

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology

2017
Int J Mol Sci
PMCID: 5343848
PMID: 28157153
DOI: 10.3390/ijms18020312

[…] The effect of incorporating new annotation features derived from protein annotation tools () with biological relevance for immunogenicity (e.g., Spaan [], MHCpan [], GPS-MBA []) on the ability of SVM classifiers to distinguish BPAs from non-BPAs was examined. Compared to our original approach [], an additional 15 protein annotation tools were assessed resulting in […]


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GPS-MBA institution(s)
Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China; Hefei National Laboratory for Physical Sciences, Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, China; State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China; Saban Research Institute of Children’s Hospital Los Angeles, Department of Pediatrics, University of Southern California, Los Angeles, CA, USA
GPS-MBA funding source(s)
Supported, in whole or in part, by the National Basic Research Program (973 project) (2010CB945400, 2012CB911200,2012CB910101), the Natural Science Foundation of China (90919001, 31071154, 30900835, 30830036, 91019020, 31171263) and by the Fundamental Research Funds for the Central Universities (HUST: 2010JC049, 2010ZD018, 2011TS085; SYSU: 11lgzd11).

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